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Record W6887759859 · doi:10.17605/osf.io/smfpu

Barriers and Facilitators to Accessing Rural Nursing Education in Canada: A Scoping Review

2025· other· en· W6887759859 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Science Framework · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNurse educationProfessional developmentMEDLINENurse educatorAffect (linguistics)Qualitative researchNursing research

Abstract

fetched live from OpenAlex

Rural Canadian nurses are vital to safe and competent healthcare. Access to educational opportunities meets nurses' professional and personal needs. This scoping review examines the barriers and facilitators that affect rural Canadian Licensed Practical Nurses (LPNs)/Registered Practical Nurses (RPrN), Registered Nurses (RNs), Registered Psychiatric Nurses (RPNs), and Nurse Practitioners (NPs) in accessing and engaging in educational opportunities for career advancement and practicing with an expanded scope. These barriers and facilitators will be examined from personal, agency, educational institution, and regulatory perspectives. Using a JBI approach design, this scoping review will evaluate peer-reviewed published primary research studies. Sources from 2014-2024 and in English that reflect aspects of the research objectives will be included. Two reviewers will independently screen sources at the title, abstract, and full-screen phases. Data will be extracted using Covidence, and the team will follow the JBI charting methods while using the data extraction tool. Findings will present the depth and breadth of knowledge, summarizing the characteristics of the sources and body of literature and discussing themes related to barriers and facilitators of educational opportunities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.976
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.404
Teacher spread0.385 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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